Cargando…
1064. Intra-Host SARS-CoV-2 Evolution Dynamics
BACKGROUND: Our understanding of SARS-CoV-2 evolution is limited. Most estimates arise from analysis of global databases populated with unrelated sequences and is currently estimated at ∼27.7 substitutions/genome/year. SARS-CoV-2 polymerase contains a proofreading function encoded by NSP-14 limiting...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752359/ http://dx.doi.org/10.1093/ofid/ofac492.905 |
_version_ | 1784850702705623040 |
---|---|
author | Haddad, Kim El Esper, Frank Mudiyanselage, Thamali Madhushani Adhikari Li, Jing Zheng, Tu Cheng, Yu-Wei Rhoads, Daniel D Farkas, Daniel H Ko, Jennifer Worley, Sarah Rubin, Brian Zhang, Xiangyi Leng, Xiaoyi |
author_facet | Haddad, Kim El Esper, Frank Mudiyanselage, Thamali Madhushani Adhikari Li, Jing Zheng, Tu Cheng, Yu-Wei Rhoads, Daniel D Farkas, Daniel H Ko, Jennifer Worley, Sarah Rubin, Brian Zhang, Xiangyi Leng, Xiaoyi |
author_sort | Haddad, Kim El |
collection | PubMed |
description | BACKGROUND: Our understanding of SARS-CoV-2 evolution is limited. Most estimates arise from analysis of global databases populated with unrelated sequences and is currently estimated at ∼27.7 substitutions/genome/year. SARS-CoV-2 polymerase contains a proofreading function encoded by NSP-14 limiting change. Additionally, virus evolution may be influenced by patient comorbidity. Intra-host mutational rate (MR) during infection remain poorly studied. METHODS: To minimize effect of vaccination and/or natural immunity on MR analysis, paired samples from adults originating from the initial pandemic wave (3/17/2020 through 5/27/2020) were retrieved and analyzed at Cleveland Clinic. Viral genome analysis was performed using next generation sequencing, and mutations between paired samples were quantified at allele frequencies (AF) ≥ 0.1, ≥ 0.5 and ≥ 0.75 and compared. MR was calculated employing F81 and JC69 evolution models and compared between isolates with (Δ NSP-14) and without (wildtype, wt) non-synonymous mutations in NSP-14 and by comorbidity. RESULTS: A total of 40 patients (80 sample pairs) were identified. Median interval between paired tests was 15 days [range 5-32]. The estimated MR by F81 modeling was 317.2 (95%CI 312.0-322.3), 54.6 (95%CI 52.5-56.7) and 45.1 (95%CI 43.1-47.0) substitutions/genome/year at AF of ≥0.1, ≥0.5, ≥0.75 respectively. Rates in ΔNSP-14 (n=13) vs wt (n=27) groups were 557.7 (95%CI 537.0-578.2) vs 193.1 (95%CI 187.1-199.1) p-value 0.001, 50.8 (95%CI 44.3-57.3) vs 56.3 (95%CI 53.1-59.4) p-value 0.144, and 31.0 (95%CI 25.9-36.1) vs 51.3 (95%CI 48.3-54.3) p- value < 0.001 at AF ≥0.1, ≥0.5, ≥0.75 respectively. Patients with immune comorbidities (n=6) had significantly higher MR of 137.6 (95%CI 114.6-160.5) vs 40.5 (95%CI 38.4-42.7) p-value < 0.001, and 113.7 (95%CI 92.8-134.5) vs 33.4 (95%CI 31.5-35.4) p-value < 0.001 at AF ≥0.5 and ≥0.75 respectively. Similar results were obtained when using the JC69 model. [Figure: see text] [Figure: see text] [Figure: see text] CONCLUSION: Intra-host SARS-CoV-2 mutation rates are higher than those reported through population analysis. Virus strains with altered NSP-14 have accelerated MR at low AF. Immunosuppressed patients have elevated MR at higher AF. Understanding intra-host virus evolution will aid in current and future pandemic modeling. DISCLOSURES: Frank Esper, M.D, Johnson and Johnson: Advisor/Consultant Daniel D. Rhoads, M.D. PhD, Luminex: Advisor/Consultant|Talis Biomedical: Advisor/Consultant|Thermo Fisher: Advisor/Consultant. |
format | Online Article Text |
id | pubmed-9752359 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-97523592022-12-16 1064. Intra-Host SARS-CoV-2 Evolution Dynamics Haddad, Kim El Esper, Frank Mudiyanselage, Thamali Madhushani Adhikari Li, Jing Zheng, Tu Cheng, Yu-Wei Rhoads, Daniel D Farkas, Daniel H Ko, Jennifer Worley, Sarah Rubin, Brian Zhang, Xiangyi Leng, Xiaoyi Open Forum Infect Dis Abstracts BACKGROUND: Our understanding of SARS-CoV-2 evolution is limited. Most estimates arise from analysis of global databases populated with unrelated sequences and is currently estimated at ∼27.7 substitutions/genome/year. SARS-CoV-2 polymerase contains a proofreading function encoded by NSP-14 limiting change. Additionally, virus evolution may be influenced by patient comorbidity. Intra-host mutational rate (MR) during infection remain poorly studied. METHODS: To minimize effect of vaccination and/or natural immunity on MR analysis, paired samples from adults originating from the initial pandemic wave (3/17/2020 through 5/27/2020) were retrieved and analyzed at Cleveland Clinic. Viral genome analysis was performed using next generation sequencing, and mutations between paired samples were quantified at allele frequencies (AF) ≥ 0.1, ≥ 0.5 and ≥ 0.75 and compared. MR was calculated employing F81 and JC69 evolution models and compared between isolates with (Δ NSP-14) and without (wildtype, wt) non-synonymous mutations in NSP-14 and by comorbidity. RESULTS: A total of 40 patients (80 sample pairs) were identified. Median interval between paired tests was 15 days [range 5-32]. The estimated MR by F81 modeling was 317.2 (95%CI 312.0-322.3), 54.6 (95%CI 52.5-56.7) and 45.1 (95%CI 43.1-47.0) substitutions/genome/year at AF of ≥0.1, ≥0.5, ≥0.75 respectively. Rates in ΔNSP-14 (n=13) vs wt (n=27) groups were 557.7 (95%CI 537.0-578.2) vs 193.1 (95%CI 187.1-199.1) p-value 0.001, 50.8 (95%CI 44.3-57.3) vs 56.3 (95%CI 53.1-59.4) p-value 0.144, and 31.0 (95%CI 25.9-36.1) vs 51.3 (95%CI 48.3-54.3) p- value < 0.001 at AF ≥0.1, ≥0.5, ≥0.75 respectively. Patients with immune comorbidities (n=6) had significantly higher MR of 137.6 (95%CI 114.6-160.5) vs 40.5 (95%CI 38.4-42.7) p-value < 0.001, and 113.7 (95%CI 92.8-134.5) vs 33.4 (95%CI 31.5-35.4) p-value < 0.001 at AF ≥0.5 and ≥0.75 respectively. Similar results were obtained when using the JC69 model. [Figure: see text] [Figure: see text] [Figure: see text] CONCLUSION: Intra-host SARS-CoV-2 mutation rates are higher than those reported through population analysis. Virus strains with altered NSP-14 have accelerated MR at low AF. Immunosuppressed patients have elevated MR at higher AF. Understanding intra-host virus evolution will aid in current and future pandemic modeling. DISCLOSURES: Frank Esper, M.D, Johnson and Johnson: Advisor/Consultant Daniel D. Rhoads, M.D. PhD, Luminex: Advisor/Consultant|Talis Biomedical: Advisor/Consultant|Thermo Fisher: Advisor/Consultant. Oxford University Press 2022-12-15 /pmc/articles/PMC9752359/ http://dx.doi.org/10.1093/ofid/ofac492.905 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstracts Haddad, Kim El Esper, Frank Mudiyanselage, Thamali Madhushani Adhikari Li, Jing Zheng, Tu Cheng, Yu-Wei Rhoads, Daniel D Farkas, Daniel H Ko, Jennifer Worley, Sarah Rubin, Brian Zhang, Xiangyi Leng, Xiaoyi 1064. Intra-Host SARS-CoV-2 Evolution Dynamics |
title | 1064. Intra-Host SARS-CoV-2 Evolution Dynamics |
title_full | 1064. Intra-Host SARS-CoV-2 Evolution Dynamics |
title_fullStr | 1064. Intra-Host SARS-CoV-2 Evolution Dynamics |
title_full_unstemmed | 1064. Intra-Host SARS-CoV-2 Evolution Dynamics |
title_short | 1064. Intra-Host SARS-CoV-2 Evolution Dynamics |
title_sort | 1064. intra-host sars-cov-2 evolution dynamics |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9752359/ http://dx.doi.org/10.1093/ofid/ofac492.905 |
work_keys_str_mv | AT haddadkimel 1064intrahostsarscov2evolutiondynamics AT esperfrank 1064intrahostsarscov2evolutiondynamics AT mudiyanselagethamalimadhushaniadhikari 1064intrahostsarscov2evolutiondynamics AT lijing 1064intrahostsarscov2evolutiondynamics AT zhengtu 1064intrahostsarscov2evolutiondynamics AT chengyuwei 1064intrahostsarscov2evolutiondynamics AT rhoadsdanield 1064intrahostsarscov2evolutiondynamics AT farkasdanielh 1064intrahostsarscov2evolutiondynamics AT kojennifer 1064intrahostsarscov2evolutiondynamics AT worleysarah 1064intrahostsarscov2evolutiondynamics AT rubinbrian 1064intrahostsarscov2evolutiondynamics AT zhangxiangyi 1064intrahostsarscov2evolutiondynamics AT lengxiaoyi 1064intrahostsarscov2evolutiondynamics |